Supervised fine-tuning region settings for Gemini models

This document lists the regions that supervised fine-tuning supports.

You specify one Google Cloud region setting when you configure a supervised fine-tuning job with Gemini. This region is where the tuning job runs and where the tuned model uploads.

Configure a tuning job region

User data, such as the transformed dataset and the tuned model, is stored in the tuning job region. During tuning, computation could be offloaded to other US or EU regions for available accelerators. The offloading is transparent to users.

  • If you use the Vertex AI SDK, you can specify the region at initialization. For example:

    import vertexai
    vertexai.init(project='myproject', location='us-central1')
  • If you create a supervised fine-tuning job by sending a POST request using the tuningJobs.create method, then you use the URL to specify the region where the tuning job runs. For example, in the following URL, you specify a region by replacing both instances of TUNING_JOB_REGION with the region where the job runs.
  • If you use the Google Cloud console, you can select the region name in the Region drop down field on the Model details page. This is the same page where you select the base model and a tuned model name.

Supported tuning job regions

You can use one of the following regions to specify the tuning job region.

  • asia-east1
  • asia-east2
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-central2
  • europe-north1
  • europe-southwest1
  • europe-west1
  • europe-west2
  • europe-west3
  • europe-west4
  • europe-west6
  • europe-west8
  • europe-west9
  • me-central1
  • me-central2
  • me-west1
  • northamerica-northeast1
  • southamerica-east1
  • us-central1
  • us-east1
  • us-east4
  • us-east5
  • us-south1
  • us-west1
  • us-west4

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